Note: This is an archived Handbook entry from 2013.
|Dates & Locations:|| |
This subject is not offered in 2013.
|Time Commitment:||Contact Hours: 36 hours, comprising of one 2-hour lecture and one 1-hour workshop per week |
Total Time Commitment:
|Recommended Background Knowledge:||
One semester of computer programming or equivalent experience
|Non Allowed Subjects:||
Students cannot enrol in and gain credit for this subject and:
433-450 Computational Sequence Analysis
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
Dr Linda Stern
Technological advances in obtaining high throughput data from functioning cells have stimulated the development of new computational approaches to functional genomics and systems biology. This subject covers the theory and practice of two of the most widely used computational techniques used for analysis and interpretation of functional genomic data: microarray analysis and RNA-seq (next generation sequencing for RNA). This subject concentrates on current research problems and recently developed computational techniques for analysis.
On completion of this subject students should be able to:
To pass the subject students must obtain at least:
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On successful completion students should be able to:
Master of Biomedical Engineering |
Master of Philosophy - Engineering
Master of Science (Bioinformatics)
Master of Science (Computer Science)
Master of Software Systems Engineering
Postgraduate Certificate in Engineering
Computer Science |
Master of Engineering (Biomedical)
Master of Engineering (Software)
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